Optimization of oil extraction from locust bean using response surface methodology

dc.contributor.authorRahman Akinoso and Akeem Olayemi Raji
dc.date.accessioned2024-06-12T15:59:29Z
dc.date.available2024-06-12T15:59:29Z
dc.date.issued2011
dc.description.abstractOptimization of oil extraction from locust beans (Parkia biglobosa) using central composite rotatable design of RSM was carried out. Independent variables were roasting temperature (90, 100, 110, 120, 1308C) and roasting duration (5, 10 15, 20, 25 min), while the responses were oil yield (OY), free fatty acid (FFA), color (CO), stability, anisidine value (AV), and specific gravity (SG). Data obtained from this study were analyzed using ANOVA and regression analysis. OY, FFA, CO, oil stability, AV, and SG of the oil ranged between (19.0–22.5%), (0.65–3.1%), (37.9–199.9 mg/L), (3.6–6.4%), (11.4– 59.9 mg/L), (0.7–0.9), respectively. Roasting conditions significantly influenced all dependent variables at p<0.05. Coefficients of determination (R2) of the generated models ranged from 0.49 to 0.98. Optimum roasting condition was 1088C for 10 min. This gave 22.3% OY, 1.7% FFA, 54.9 mg/L CO, 4.1% stability, 16.5 mg/L AV, and 0.9 SG. Desirability of 0.8 was obtained for optimum conditions
dc.identifier.citationAkinoso, R., & Raji, A. O. (2011). Optimization of oil extraction from locust bean using response surface methodology. European Journal of Lipid Science and Technology, 113(2), 245-252.
dc.identifier.urihttps://kwasuspace.kwasu.edu.ng/handle/123456789/1362
dc.language.isoen
dc.publisherEuropean Journal of Lipid Science and Technology
dc.titleOptimization of oil extraction from locust bean using response surface methodology
dc.typeArticle
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